Using probabilistic networks for the London plan knowledge representation

Amin Hosseinian-Far, Hamid Jahankhani, Elias Pimenidis

Research output: Contribution to Book/ReportChapterpeer-review

Abstract

London Plan is the London mayor's strategic plan. Policy 4A puts forward the "Tackling climate change" scenario. Many research studies have analyzed the environmental and social aspects of the policy, but lack of an extensive financial assessment is identifiable. The Influence Diagrams in this paper concern financial assessment of Policy 4A.2 of the London Plan. Its nature is complex, uncertain and requires prediction. Probabilistic Networks are novel tools for policy Knowledge Representation. This paper outlines Influence diagrams construction for London Plan case. It also analyses the variables, functions and the relationships in between and gives an overview of ID evaluation. In addition an introduction of efficiency analysis of the ID is given. © 2011 IEEE.
Original languageEnglish
Title of host publicationProceedings of 2011, 10th IEEE International Conference on Cybernetic Intelligent Systems, CIS 2011
Pages123-127
Number of pages5
DOIs
Publication statusPublished - 2011

Publication series

NameProceedings of 2011, 10th IEEE International Conference on Cybernetic Intelligent Systems, CIS 2011

Keywords

  • DAG
  • Discrete Influence Diagrams
  • Knowledge Representation
  • LQCG Influence Diagram
  • London Plan
  • Probabilistic Networks

Fingerprint Dive into the research topics of 'Using probabilistic networks for the London plan knowledge representation'. Together they form a unique fingerprint.

Cite this